Metaverse Network Traffic for Classification and Prediction

Citation Author(s):
Yoga Suhas
Kuruba Manjunath
Toronto Metropolitan University
Submitted by:
Yoga Suhas Kuru...
Last updated:
Fri, 10/11/2024 - 22:40
DOI:
10.21227/0qs9-f852
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Abstract 

Metaverse Network Traffic dataset consists of comprehensive applications from Virtual, Augmented, and Mixed Realities. Dataset is captured in an intelligent platform built using Oculus Quest 2, traffic manager, and cloud rendering device using Virtual Desktop Streamer. The Dataset is captured in packet capture (.pcap) format. The extracted version in the form of comma-seperated value (.csv) file is also provided. However, .pcap file will provide more flexibility. Dataset is captured for 60, 90, and 120 Hz frames per seconds (FPS) configurations.

Instructions: 

Cloud => Cloud_bitrate => FPS => Applications.

bitrate = {AB, 120 Mbps, 15 Mbps}; AB is adaptive bitrate

FPS = {60 Hz, 90 Hz, 120 Hz}

Applications = {Bigscreen, DirtRalley2.0, Hellblade VR, Reality Mixer, The Lab Augmented Reality, The Lab, VRChat}

Additional Information:

Virtual Reality applications = {Bigscreen, DirtRalley2.0, Hellblade VR, The Lab, VRChat}

Virtual Reality Video = {Bigscreen}

Virtual Reality Chat/VoIP = {VRChat}

Virtual Reality Games = {DirtRalley 2.0, Hellbalde VR, The Lab}

Augmented Reality = {Reality Mixer, The Lab Augmented Reality}

Mixed Reality = {Reality Mixer}